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Wheat quality improvement in
China, progress and prospects


Zhong-hu He12, Xianchun Xia1, Yan Zhang1, Yong Zhang1,
and Xinmin Chen1
1Crop Science Institute, CAAS
2Global Wheat Program, CIMMYT
Outlines
   Chinese wheat quality
   Progress in quality improvement
   Application of genomic technology
   Future prospects
Chinese wheat quality
Major cereal production in China, 2007-2009
Crop           Area          Yield   Production %
               Mha           Kg/ha   Mt         World
Rice           29.5          6520    196       29
Maize          30.2          5327    161       20
Wheat          23.9          4703    112       17

Data Source: FAO Statistics, 2011
Wheat/maize interplanting


                                              Wheat/maize rotation



                              Wheat/rice rotation




           Chinese wheat production zones
Wheat consumption in China, 2009
Classification               %
Food                         77
Industrial use                9
Feed                          9
Seed and storage loss         5
Total                       100
Percentage of wheat foods in China
Food type                             %
Steamed bread including flat bread   45
Noodles and dumplings                40
Cookies and biscuits                   8
Western bread                          4
Others                                 3
Total                                100
History of quality improvement
   Before 1984, focused on yield improvement and disease
    resistance, little efforts on quality, white and hard kernel
    means good quality
   1985-2000, establishment of quality labs and screening of
    advanced lines and varieties, market demanding for better
    processing quality
   2000-present, release of high quality variety, and
    development and application of markers, market
    demanding both for processing and nutritional qualities
Chinese wheat quality
   Broad variation for all major parameters, mixed
    population, north with hard type, south with soft type
   Acceptable protein content, weak gluten strength and
    poor extensibility
   Color needs improvement for traditional products
   Acceptable quality for manual processing, inferior
    quality for mechanized production
25
20
15
                                           中国
                                           China
10                                         加拿大
                                           Canada

 5
 0
     蛋白质
     Protein   稳定时间
               Stability    延伸性
                           Extensibility

 Comparison between Chinese and Canada wheats
100

80
                                            软质
                                            Soft
60

40                                          硬质
                                            Hard

20

 0
        北方
        North            南方
                         South

 Distribution of kernel hardness in China
Genetic variation for bread-making quality
Genetic variation for noodle quality
Target
   Products: pan bread and white noodle for north China
   Traits: improvement of gluten strength and color rather
    than protein content
   Region: Yellow and Huai Valley, 75% of production
   Impact in milling industry and farmer field, new
    varieties with excellent quality and high yield
   Novelty in science, application of genomics and
    proteomics, and molecular markers
Approach
   Integration of breeding, cereal chemistry, new
    technology, and crop management
   National and international collaborations, CIMMYT,
    Australia, USA, France, Japan, and UK….
   Training
Progress in quality improvement
Quality improvement
   Learn available technology for pan bread from other
    countries, develop noodle testing methodology
   High yielding Chinese wheat crosses with germplasm from
    CIMMYT, USA, and Australia, and then backcrosses with
    Chinese wheat to ensure high yield and broad adaptation
   SDS sedimentation value, mixograph, and HMW-GS are
    used as selection tool in early generations
馒头制作方法
Noodle preparation and testing
Formula: flour extract rate 60%, water addition 35%, and salt 1%
New scoring system for Chinese white noodles
Character             Chinese              Japanese
Color                 15                    20
Appearance            10                    15
Firmness              20                    10
Viscoelasticity       30                    25
Smoothness            15                    15
Taste and flavor      10                    15
Total                 100                   100

Zhang et al, 2005, Euphytica,141:113-120
Sensory scoring system for noodle quality
   Name                       Origin                     Date
Parameter         Excellent   Very good   Good   Fair   Poor    Very poor   Unacceptable
                  (10)        (9)         (8)    (7)    (6)     (5)         (4)
Color
(15)
 Appearance
(10)
Firmness
(20)
Viscoelasticity
(30)
Smoothness
(15)
Taste & Flavor
(10)
Comprehensive
evaluation
Three factors for noodle quality

                                                                          80.0




                                         L* value of flour water slurry
   Medium-strong gluten quality                                          79.5

                                                                          79.0
   High starch viscosity
                                                                          78.5

   Bright color                                                          78.0      r=-0.95

                                                                          77.5

                                                                          77.0
                                                                              0.0   1.0      2.0     3.0       4.0   5.0
                                                                                          Flour colour grade


    He et al, 2005, Cereal Chemistry, 82: 345-350
    Zhang et al, 2005, Cereal Chemistry, 82: 633-638
Variety with outstanding noodle quality
   Excellent quality, higher yield than check variety
   Hebei: Jing 9428, Zhongmai 175
   Shandong: Yannong 15, Jimai 19, Jimai 20, PH82-2-2
   Henan: Yumai 34, Yumai 47, Yumai 49
   Introductions: Eradu, Gamenya, Sunstate
Variety with outstanding bread quality

   Excellent quality, yield close to check variety
   Accepted by farmers and milling industry
   Hebei: Zhongyou 9507, Gaocheng 8901, Jishi 02-1
   Shandong: Jinan 17, Jimai 20
   Henan: Yumai 34, Zhengmai 366
   Yumai 34 and Jimai 20 have dual purpose quality
Variety with improved bread-making quality
Application of genomic technology
Approach
   Breeding oriented approach, translate advances of
    genomics into breeding programs, focus on
    functional marker development and validation
   Functional markers can discriminate alleles of a
    targeted gene, is an ideal marker for breeding
    program
   Optimize available markers from other institutes
Example 1-yellow pigment
   Bright white color is preferred for Chinese noodle and
    steamed bread, low yellow pigment is desirable
   Three QTLs at chr 7A, 7B, and 7D, are responsible for
    yellow pigment
   Clone Psy 1 gene on chr 7A, 7B, and 7D
   Develop functional markers based on the gene allelic
    variations
   Validate markers in Chinese wheat varieties
Cloned Psy genes on wheat chr 7A and 7B
    Allele       Coding         Intron                 cDNA (bp)                       Deduced amino acids
                 seq (bp)
                                             5’UTR        ORF        3’UTR        Residues       Mass (kD)
    PSY-A1       4177 bp            5            221      1284        303             428           47.8
    PSY-B1       3313 bp            5            222      1263        156             421           47.0




                                                   1 2           3                    4 5 6
Z MU32 636
     ZMU 32636
             1                                                                                      5995

                            1   2        3               4                 5      6
             PSY-A1
                      1                                                                4177

                            1   2            3               4   5     6
             PSY-B1
                      1                                                    3313
             He et al, 2008, TAG, 116: 213-221
Allelic variants for the Psy-A1 gene on chr 7A

                    1   2    3          4           5   6
    Psy-A1a
                1                                            4177

                    1   2    3          4           5   6
Unt i t l e d
  Psy-A1b
                1                                           414 5

                    1   2    3          4   5   6
    Psy-A1c
    Unt itl e d
              1                                 323 5


    He et al, 2008, TAG, 116: 213-221
PCR amplification with YP7A
         Varieties with high   Varieties with low
         yellow pigment        yellow pigment




194 bp                                              231 bp




                                                    231 bp


194 bp
Validation of YP7A in Chinese varieties
Allele        Accession number           Mean (mg/kg)         Range

Psy-A1a       130                        1.80 a               0.62-3.42
Psy-A1b       87                         1.35 b               0.35-2.88
Different letters indicate significant difference at P<0.05

He et al, 2008, TAG, 116: 213-221
Markers for color traits
   Yellow pigment: Psy-A1, Psy-B1, Psy-D1, TaZds-A1, and
    TaZds-D1
   Polyphenol oxidase activity: PPO-A1 and PPO-D1
   Lipoxgenase activity: TaLox-B1
   Excellent understanding on color traits at molecular level
    and powerful tool for breeders, genetic materials are
    needed to develop markers for other locus
Example 2-LMW-GS
   Molecular marker development and application
   CE and MALDI-TOF-MS
Utilization of LMW-GS in breeding

   HMW-GS is well characterized and have been widely
    used in breeding programs for more than 25 years

   LMW-GS are poorly characterized, and utilization in
    breeding is not common, largely due to the unavailability
    of simple and efficient method
Relationship between Glu-B3 protein alleles from
SDS-PAGE and gene haplotypes
Line         Allele   GluB3   GluB3   GluB3-   GluB3-   GluB3-   GluB3-   GluB3-   GluB3-
                      -11     -12     13       14       15       21       22       23
Aroona-B3a   a        +                                          +
Aroona       b                +                                           +
Aroona-B3c   c
Aroona-B3d   d
Cheyenne     e                        +                                   +
Aroona-B3f   f                                 +                          +
Aroona-B3g   g                                          +                          +
Aroona-B3h   h
Aroona-B3i   i

Line         Allele   GluB3   GluB3   GluB3-   GluB3-   GluB3-   GluB3-   GluB3-   GluB3-   GluB3-
                      -31     -32     33       34       41       42       43       44       45
Aroona-B3a   a                                          +
Aroona       b                                                   +
Aroona-B3c   c        +                                 +
Aroona-B3d   d                +                         +
Cheyenne     e                                                            +
Aroona-B3f   f                                                                     +
Aroona-B3g   g                                                                     +
Aroona-B3h   h                        +                                   +
Aroona-B3i   i                                 +                                            +
Establishment of gene marker system and separation of
LMW-GS genes in Xiaoyan 54




         3730 DNA analyzer



Zhang et al, 2011, TAG, 123: 1293-1305, adapted from Zhang Xiaofei, CAS
LMW-GS genes in Chinese core collections, CAS




                          17      16               17               16
Allelic variants of individual LMW-GS genes are conserved in sequences and polymorphic in length.
Markers for discrimination of Glu-B3 alleles

     a   b   c   d   e   f   g   h   i
                                         gluB3fg
                                         812bp


                                         gluB3g
                                         853bp

                                         gluB3h
                                         1022bp

                                         gluB3i
                                         621bp
Molecular markers for Glu-A3 and Glu-B3

   Glu-A3: 7 markers for alleles a, b, c, d, e, f, and g
   Glu-B3: 9 markers for alleles a, b, c, d, e, f, g, h, and i
   Glu-D3: no marker is available due to tiny difference
    in gene sequence, with minor effect on quality
Molecular marker validation
   More than 1000 varieties and advanced lines from
    China, CIMMYT, and other 20 countries were tested
   Results from markers at Glu-A3 and Glu-B3, are well
    consistent with SDS-PAGE
   Much simple to use
Multiplex PCR assay
   Screen 3-5 genes in one test
   Excellent accuracy
   Low cost
   Breeding oriented


Zhang et al, 2008, Plant Breeding, 127: 109-115
Application of markers
   Totally, 90 markers available in our lab
   Parental characterization and advanced lines confirmation
   Provision of very useful information for crossing program
    with low cost, impossible by conventional method
   MAS operation in four breeding programs
Four lines in regional trials




Application of molecular markers in breeding
Glu-A3a
          1   2      3       4      5   6                              Glu-B3a

                                                                          Glu-D3a    Chinese Spring




                      2                                    Glu-B3h
                                            5                                            CB037
HMW-GS
                                            10
                     12                                                 Glu-A3c

                                                                                         CB037-1


                            Glu-B3h                        Glu-B3h
                  Glu-A3a
Glu-A3c                                          Glu-A3c                                 CB037-2
Glu-B3d
          Glu-B3g         Glu-B3a
                                                                           Glu-D3c
                                                                                         Ari124-3
                                                 Glu-D3a
Glu-D3c

                                                                      Glu-B3g
                                                                                         Ari127-6




     Rapid identification of LMW-GS alleles by capillary electrophoresis
      Li et al, J. Cereal Sci, 2012, slide from Yan Yueming, Capital Normal University
Identification of Glu-B3 alleles by MALDI-TOF-MS




              6. Chinese Spring, 7. Renan, 8. Insignia
MALDI-TOF-MS for LMW-GS
   Joint developed by the Capital Normal University and
    Murdoch University
   A powerful and rapid method, 4-5 minutes per sample
   Little operational cost, breeding program can not
    afford the equipment, need centralized service
Varieties recommended as standards for LMW-GS
Locus      Subunit     Standard cultivar
Glu-A3     Glu-A3a     Neixiang 188, Chinese Spring
           Glu-A3b     Gabo, Pavon
           Glu-A3c     Pitic, Seri 82
           Glu-A3d     Nidera Baguette 10, Cappelle-Desprez
           Glu-A3e     Amadina, Marquis
           Glu-A3f     Kitanokaori, Renan
           Glu-A3g     Bluesky, Glenlea
Glu-B3     Glu-B3a     Chinese Spring
           Glu-B3b     Renan, Gabo
           Glu-B3b*    Nanbu-komugi
           Glu-B3c     Insignia, Halberd
           Glu-B3d/i   Pepital, Norin 61
           Glu-B3g     Splendor, Cappelle-Desprez
           Glu-B3g*    Thesee, Aca 801
           Glu-B3h     Aca 303, Pavon
           Glu-B3i*    Heilo, Opata
           Glu-B3j     Grebee, Seri 82
Glu-D3     Glu-D3a     Chinese Spring, Neixiang 188
           Glu-D3b     Gabo, Avocet
           Glu-D3c     Insignia, Cappelle-Desprez
           Glu-D3c*    Amadina, Heilo
           Glu-D3f     Ernest, Darius
Future prospects
Challenge 1- production
   Food security is China’s national policy, and
    improvement of average yield is the only option
   Climate change, shortage of water, and more diseases
   Maize area increased 30%, wheat is less competitive than
    maize in yield and price, can we maintain wheat area?
   Challenges are to combine high yield potential, disease
    resistance, input use efficient, and excellent quality into
    one variety
Challenge 2- quality
   Significant progress has been made in quality
    improvement, still can not meet the needs of milling
    industry
   Breeders give more efforts to yield improvement after
    2005, due to the high price of average quality grain,
    should we still breed for quality?
   Around 15 million tons wheat used for feed in 2012
   With small farmer’s size (0.5 ha), can we ensure quality
    consistency?
Challenge 3-health food
   Health food is a hot subject, stop use of bleaching in
    milling industry, genetic improvement of color
    becomes more important
   Toxicity of Fusarium head scab could be a significant
    threat, due to climate change and popularity of
    wheat/maize rotation
   How should we prioritize Fe/Zn and other nutritional
    elements? food diversity or genetic improvement?
Challenge 4- traditional products
   Significant progress has been made in improving white
    noodle quality, but more efforts are needed to
    understand other types of noodles, and dumplings
   More efforts to understand north style steamed bread
    quality and Chinese flat bread….
   More efforts for soft wheat products
Opportunity 1-molecular marker
   Molecular markers will play an increasing and much
    more significant role in varietal development within
    next 5-10 years
   More and more functional markers will be available for
    important traits, as progress made in genomics and
    gene cloning
   Can we rapidly transfer the advances from sequencing
    into breeding program?
Opportunity 2-GMO wheat
   Large investment on GMO crops including wheat
   Great potential for wheat improvement
   Low transformation efficiency: <1%
   Shortage of interest genes
   Declines of consumer’s acceptance
Opportunity 3- integrated approach
   Great expectations from new science in understanding
    quality and provision of new tools
   Combination of conventional breeding, quality testing,
    molecular markers, GMO, and other approaches
   International and national network
Conclusions
   Significant progress has been made in noodle testing
    methodology and development of quality variety
   Comparative genomic was successfully used for gene
    cloning, molecular markers development and
    application, particularly for LMW-GS
   Integration of various disciplines, and combination of
    traditional approaches and new sciences will help us to
    meet the great challenges in the future
Collaborators
Liu Jianjun, Shandong AAS
Yan Yueming, Capital Normal University
D. W. Wang/A.M. Zhang, Chinese Academy of Science
R. J. Pena, CIMMYT
K. Quail/S. Huang, Former BRI
T. Ikeda/Yoshida, NARO
G. Branlard, INRA
W. J. Ma/R. Appels, Murdoch University
C. Morris, USDA-ARS
Acknowledgement
   Ministry of Agriculture
   Ministry of Science and Technology
   National Natural Science Foundation of China

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Wheat quality improvement in China, progress and prospects

  • 1. Wheat quality improvement in China, progress and prospects Zhong-hu He12, Xianchun Xia1, Yan Zhang1, Yong Zhang1, and Xinmin Chen1 1Crop Science Institute, CAAS 2Global Wheat Program, CIMMYT
  • 2. Outlines  Chinese wheat quality  Progress in quality improvement  Application of genomic technology  Future prospects
  • 4. Major cereal production in China, 2007-2009 Crop Area Yield Production % Mha Kg/ha Mt World Rice 29.5 6520 196 29 Maize 30.2 5327 161 20 Wheat 23.9 4703 112 17 Data Source: FAO Statistics, 2011
  • 5. Wheat/maize interplanting Wheat/maize rotation Wheat/rice rotation Chinese wheat production zones
  • 6.
  • 7. Wheat consumption in China, 2009 Classification % Food 77 Industrial use 9 Feed 9 Seed and storage loss 5 Total 100
  • 8. Percentage of wheat foods in China Food type % Steamed bread including flat bread 45 Noodles and dumplings 40 Cookies and biscuits 8 Western bread 4 Others 3 Total 100
  • 9. History of quality improvement  Before 1984, focused on yield improvement and disease resistance, little efforts on quality, white and hard kernel means good quality  1985-2000, establishment of quality labs and screening of advanced lines and varieties, market demanding for better processing quality  2000-present, release of high quality variety, and development and application of markers, market demanding both for processing and nutritional qualities
  • 10. Chinese wheat quality  Broad variation for all major parameters, mixed population, north with hard type, south with soft type  Acceptable protein content, weak gluten strength and poor extensibility  Color needs improvement for traditional products  Acceptable quality for manual processing, inferior quality for mechanized production
  • 11. 25 20 15 中国 China 10 加拿大 Canada 5 0 蛋白质 Protein 稳定时间 Stability 延伸性 Extensibility Comparison between Chinese and Canada wheats
  • 12. 100 80 软质 Soft 60 40 硬质 Hard 20 0 北方 North 南方 South Distribution of kernel hardness in China
  • 13. Genetic variation for bread-making quality
  • 14. Genetic variation for noodle quality
  • 15. Target  Products: pan bread and white noodle for north China  Traits: improvement of gluten strength and color rather than protein content  Region: Yellow and Huai Valley, 75% of production  Impact in milling industry and farmer field, new varieties with excellent quality and high yield  Novelty in science, application of genomics and proteomics, and molecular markers
  • 16. Approach  Integration of breeding, cereal chemistry, new technology, and crop management  National and international collaborations, CIMMYT, Australia, USA, France, Japan, and UK….  Training
  • 17. Progress in quality improvement
  • 18. Quality improvement  Learn available technology for pan bread from other countries, develop noodle testing methodology  High yielding Chinese wheat crosses with germplasm from CIMMYT, USA, and Australia, and then backcrosses with Chinese wheat to ensure high yield and broad adaptation  SDS sedimentation value, mixograph, and HMW-GS are used as selection tool in early generations
  • 19. 馒头制作方法 Noodle preparation and testing Formula: flour extract rate 60%, water addition 35%, and salt 1%
  • 20. New scoring system for Chinese white noodles Character Chinese Japanese Color 15 20 Appearance 10 15 Firmness 20 10 Viscoelasticity 30 25 Smoothness 15 15 Taste and flavor 10 15 Total 100 100 Zhang et al, 2005, Euphytica,141:113-120
  • 21.
  • 22. Sensory scoring system for noodle quality Name Origin Date Parameter Excellent Very good Good Fair Poor Very poor Unacceptable (10) (9) (8) (7) (6) (5) (4) Color (15) Appearance (10) Firmness (20) Viscoelasticity (30) Smoothness (15) Taste & Flavor (10) Comprehensive evaluation
  • 23.
  • 24. Three factors for noodle quality 80.0 L* value of flour water slurry  Medium-strong gluten quality 79.5 79.0  High starch viscosity 78.5  Bright color 78.0 r=-0.95 77.5 77.0 0.0 1.0 2.0 3.0 4.0 5.0 Flour colour grade He et al, 2005, Cereal Chemistry, 82: 345-350 Zhang et al, 2005, Cereal Chemistry, 82: 633-638
  • 25. Variety with outstanding noodle quality  Excellent quality, higher yield than check variety  Hebei: Jing 9428, Zhongmai 175  Shandong: Yannong 15, Jimai 19, Jimai 20, PH82-2-2  Henan: Yumai 34, Yumai 47, Yumai 49  Introductions: Eradu, Gamenya, Sunstate
  • 26. Variety with outstanding bread quality  Excellent quality, yield close to check variety  Accepted by farmers and milling industry  Hebei: Zhongyou 9507, Gaocheng 8901, Jishi 02-1  Shandong: Jinan 17, Jimai 20  Henan: Yumai 34, Zhengmai 366  Yumai 34 and Jimai 20 have dual purpose quality
  • 27. Variety with improved bread-making quality
  • 29. Approach  Breeding oriented approach, translate advances of genomics into breeding programs, focus on functional marker development and validation  Functional markers can discriminate alleles of a targeted gene, is an ideal marker for breeding program  Optimize available markers from other institutes
  • 30. Example 1-yellow pigment  Bright white color is preferred for Chinese noodle and steamed bread, low yellow pigment is desirable  Three QTLs at chr 7A, 7B, and 7D, are responsible for yellow pigment  Clone Psy 1 gene on chr 7A, 7B, and 7D  Develop functional markers based on the gene allelic variations  Validate markers in Chinese wheat varieties
  • 31. Cloned Psy genes on wheat chr 7A and 7B Allele Coding Intron cDNA (bp) Deduced amino acids seq (bp) 5’UTR ORF 3’UTR Residues Mass (kD) PSY-A1 4177 bp 5 221 1284 303 428 47.8 PSY-B1 3313 bp 5 222 1263 156 421 47.0 1 2 3 4 5 6 Z MU32 636 ZMU 32636 1 5995 1 2 3 4 5 6 PSY-A1 1 4177 1 2 3 4 5 6 PSY-B1 1 3313 He et al, 2008, TAG, 116: 213-221
  • 32. Allelic variants for the Psy-A1 gene on chr 7A 1 2 3 4 5 6 Psy-A1a 1 4177 1 2 3 4 5 6 Unt i t l e d Psy-A1b 1 414 5 1 2 3 4 5 6 Psy-A1c Unt itl e d 1 323 5 He et al, 2008, TAG, 116: 213-221
  • 33. PCR amplification with YP7A Varieties with high Varieties with low yellow pigment yellow pigment 194 bp 231 bp 231 bp 194 bp
  • 34. Validation of YP7A in Chinese varieties Allele Accession number Mean (mg/kg) Range Psy-A1a 130 1.80 a 0.62-3.42 Psy-A1b 87 1.35 b 0.35-2.88 Different letters indicate significant difference at P<0.05 He et al, 2008, TAG, 116: 213-221
  • 35. Markers for color traits  Yellow pigment: Psy-A1, Psy-B1, Psy-D1, TaZds-A1, and TaZds-D1  Polyphenol oxidase activity: PPO-A1 and PPO-D1  Lipoxgenase activity: TaLox-B1  Excellent understanding on color traits at molecular level and powerful tool for breeders, genetic materials are needed to develop markers for other locus
  • 36. Example 2-LMW-GS  Molecular marker development and application  CE and MALDI-TOF-MS
  • 37. Utilization of LMW-GS in breeding  HMW-GS is well characterized and have been widely used in breeding programs for more than 25 years  LMW-GS are poorly characterized, and utilization in breeding is not common, largely due to the unavailability of simple and efficient method
  • 38. Relationship between Glu-B3 protein alleles from SDS-PAGE and gene haplotypes Line Allele GluB3 GluB3 GluB3- GluB3- GluB3- GluB3- GluB3- GluB3- -11 -12 13 14 15 21 22 23 Aroona-B3a a + + Aroona b + + Aroona-B3c c Aroona-B3d d Cheyenne e + + Aroona-B3f f + + Aroona-B3g g + + Aroona-B3h h Aroona-B3i i Line Allele GluB3 GluB3 GluB3- GluB3- GluB3- GluB3- GluB3- GluB3- GluB3- -31 -32 33 34 41 42 43 44 45 Aroona-B3a a + Aroona b + Aroona-B3c c + + Aroona-B3d d + + Cheyenne e + Aroona-B3f f + Aroona-B3g g + Aroona-B3h h + + Aroona-B3i i + +
  • 39. Establishment of gene marker system and separation of LMW-GS genes in Xiaoyan 54 3730 DNA analyzer Zhang et al, 2011, TAG, 123: 1293-1305, adapted from Zhang Xiaofei, CAS
  • 40. LMW-GS genes in Chinese core collections, CAS 17 16 17 16 Allelic variants of individual LMW-GS genes are conserved in sequences and polymorphic in length.
  • 41. Markers for discrimination of Glu-B3 alleles a b c d e f g h i gluB3fg 812bp gluB3g 853bp gluB3h 1022bp gluB3i 621bp
  • 42. Molecular markers for Glu-A3 and Glu-B3  Glu-A3: 7 markers for alleles a, b, c, d, e, f, and g  Glu-B3: 9 markers for alleles a, b, c, d, e, f, g, h, and i  Glu-D3: no marker is available due to tiny difference in gene sequence, with minor effect on quality
  • 43. Molecular marker validation  More than 1000 varieties and advanced lines from China, CIMMYT, and other 20 countries were tested  Results from markers at Glu-A3 and Glu-B3, are well consistent with SDS-PAGE  Much simple to use
  • 44. Multiplex PCR assay  Screen 3-5 genes in one test  Excellent accuracy  Low cost  Breeding oriented Zhang et al, 2008, Plant Breeding, 127: 109-115
  • 45. Application of markers  Totally, 90 markers available in our lab  Parental characterization and advanced lines confirmation  Provision of very useful information for crossing program with low cost, impossible by conventional method  MAS operation in four breeding programs
  • 46. Four lines in regional trials Application of molecular markers in breeding
  • 47. Glu-A3a 1 2 3 4 5 6 Glu-B3a Glu-D3a Chinese Spring 2 Glu-B3h 5 CB037 HMW-GS 10 12 Glu-A3c CB037-1 Glu-B3h Glu-B3h Glu-A3a Glu-A3c Glu-A3c CB037-2 Glu-B3d Glu-B3g Glu-B3a Glu-D3c Ari124-3 Glu-D3a Glu-D3c Glu-B3g Ari127-6 Rapid identification of LMW-GS alleles by capillary electrophoresis Li et al, J. Cereal Sci, 2012, slide from Yan Yueming, Capital Normal University
  • 48. Identification of Glu-B3 alleles by MALDI-TOF-MS 6. Chinese Spring, 7. Renan, 8. Insignia
  • 49. MALDI-TOF-MS for LMW-GS  Joint developed by the Capital Normal University and Murdoch University  A powerful and rapid method, 4-5 minutes per sample  Little operational cost, breeding program can not afford the equipment, need centralized service
  • 50. Varieties recommended as standards for LMW-GS Locus Subunit Standard cultivar Glu-A3 Glu-A3a Neixiang 188, Chinese Spring Glu-A3b Gabo, Pavon Glu-A3c Pitic, Seri 82 Glu-A3d Nidera Baguette 10, Cappelle-Desprez Glu-A3e Amadina, Marquis Glu-A3f Kitanokaori, Renan Glu-A3g Bluesky, Glenlea Glu-B3 Glu-B3a Chinese Spring Glu-B3b Renan, Gabo Glu-B3b* Nanbu-komugi Glu-B3c Insignia, Halberd Glu-B3d/i Pepital, Norin 61 Glu-B3g Splendor, Cappelle-Desprez Glu-B3g* Thesee, Aca 801 Glu-B3h Aca 303, Pavon Glu-B3i* Heilo, Opata Glu-B3j Grebee, Seri 82 Glu-D3 Glu-D3a Chinese Spring, Neixiang 188 Glu-D3b Gabo, Avocet Glu-D3c Insignia, Cappelle-Desprez Glu-D3c* Amadina, Heilo Glu-D3f Ernest, Darius
  • 52. Challenge 1- production  Food security is China’s national policy, and improvement of average yield is the only option  Climate change, shortage of water, and more diseases  Maize area increased 30%, wheat is less competitive than maize in yield and price, can we maintain wheat area?  Challenges are to combine high yield potential, disease resistance, input use efficient, and excellent quality into one variety
  • 53. Challenge 2- quality  Significant progress has been made in quality improvement, still can not meet the needs of milling industry  Breeders give more efforts to yield improvement after 2005, due to the high price of average quality grain, should we still breed for quality?  Around 15 million tons wheat used for feed in 2012  With small farmer’s size (0.5 ha), can we ensure quality consistency?
  • 54. Challenge 3-health food  Health food is a hot subject, stop use of bleaching in milling industry, genetic improvement of color becomes more important  Toxicity of Fusarium head scab could be a significant threat, due to climate change and popularity of wheat/maize rotation  How should we prioritize Fe/Zn and other nutritional elements? food diversity or genetic improvement?
  • 55. Challenge 4- traditional products  Significant progress has been made in improving white noodle quality, but more efforts are needed to understand other types of noodles, and dumplings  More efforts to understand north style steamed bread quality and Chinese flat bread….  More efforts for soft wheat products
  • 56. Opportunity 1-molecular marker  Molecular markers will play an increasing and much more significant role in varietal development within next 5-10 years  More and more functional markers will be available for important traits, as progress made in genomics and gene cloning  Can we rapidly transfer the advances from sequencing into breeding program?
  • 57. Opportunity 2-GMO wheat  Large investment on GMO crops including wheat  Great potential for wheat improvement  Low transformation efficiency: <1%  Shortage of interest genes  Declines of consumer’s acceptance
  • 58. Opportunity 3- integrated approach  Great expectations from new science in understanding quality and provision of new tools  Combination of conventional breeding, quality testing, molecular markers, GMO, and other approaches  International and national network
  • 59. Conclusions  Significant progress has been made in noodle testing methodology and development of quality variety  Comparative genomic was successfully used for gene cloning, molecular markers development and application, particularly for LMW-GS  Integration of various disciplines, and combination of traditional approaches and new sciences will help us to meet the great challenges in the future
  • 60. Collaborators Liu Jianjun, Shandong AAS Yan Yueming, Capital Normal University D. W. Wang/A.M. Zhang, Chinese Academy of Science R. J. Pena, CIMMYT K. Quail/S. Huang, Former BRI T. Ikeda/Yoshida, NARO G. Branlard, INRA W. J. Ma/R. Appels, Murdoch University C. Morris, USDA-ARS
  • 61. Acknowledgement  Ministry of Agriculture  Ministry of Science and Technology  National Natural Science Foundation of China